
5001 - 10000 employees
💼 Consulting
🏭 Manufacturing
🏥 Healthcare
💰 Private equity on 2017-02
Consulting • Manufacturing • Healthcare
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
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5001 - 10000 employees
💼 Consulting
🏭 Manufacturing
🏥 Healthcare
💰 Private equity on 2017-02
Consulting • Manufacturing • Healthcare
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
• Design, build and test automation workflows and AI agents against approved functional specifications and acceptance criteria • Develop low code solutions using platforms such as Microsoft Power Platform and Copilot Studio, alongside traditional automation development where required • Configure and tune AI agent behaviour, prompts and orchestration logic for use cases such as invoice reconciliation and subsequent prioritised opportunities • Work with the Data Engineer and Solution Architect to ensure data flows, integrations and exception handling are robust prior to release • Support unit and integration testing ahead of formal QA sign off • Package solutions for release and support the transition into the Monitoring stage, including handover documentation • Feed build effort and defect data back into the COE methodology's Automation Assessment and Time and Capacity components
• Working experience across automation platforms, low code tooling and AI or agentic configuration • Familiarity with Microsoft Power Platform and Copilot Studio • Hands-on experience with Microsoft Power Platform and Copilot Studio, or equivalent enterprise low code and agentic platforms • Knowledge of prompt design, agent orchestration and AI governance guardrails within an enterprise environment • Strong debugging and testing discipline • Comfortable working to defined acceptance criteria and QA gates • Experience delivering within a pod based or squad based delivery model with concurrent use cases in flight • Ability to produce clear technical handover documentation for downstream support and monitoring teams
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